anglePlot | R Documentation |
Produce an angle plot from a full or partial PCADSC
object, as obtained
from a call to PCADSC
. In either case, this PCADSC
object must have a
non-NULL
anleInfo
slot (see examples). The angle plot compares the eigenvalue-
and loading patterns from PCA performed on two datasets that consist of different observations
of the same variables.
anglePlot(x)
x |
A |
PCADSC
, doAngle
#load iris data data(iris) #Define grouping variable, grouping the observations by whether their species is #Setosa or not iris$group <- "setosa" iris$group[iris$Species != "setosa"] <- "non-setosa" iris$Species <- NULL ## Not run: #make a full PCADSC object, splitting the data by "group" irisPCADSC <- PCADSC(iris, "group") #make a partial PCADSC object from iris and fill out angleInfo in the next call irisPCADSC2 <- PCADSC(iris, "group", doAngle = FALSE) irisPCADSC2 <- doAngle(irisPCADSC2) #make an angle plot anglePlot(irisPCADSC) anglePlot(irisPCADSC2) ## End(Not run) #Only do angle information for a faster run-time irisPCADSC_fast <- PCADSC(iris, "group", doCE = FALSE, doChroma = FALSE) anglePlot(irisPCADSC_fast)
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